01/25/2017 01:38 PM EST
Researchers wrote computer programs that found patterns among anonymized data about web traffic and used those patterns to identify individual users. The researchers note web users with active social media are vulnerable to the attack. "Given a history with 30 links originating from Twitter, we can deduce the corresponding Twitter profile more than 50 percent of the time." Source Princeton University, Engineering School
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Wednesday, January 25, 2017
Your 'anonmyized' web browsing history may not be anonymous
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